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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Teknika Jupiter Techno.Com: Jurnal Teknologi Informasi SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal CoreIT Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Zonasi: Jurnal Sistem Informasi Jurnal Informatika Ekonomi Bisnis JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) JUKI : Jurnal Komputer dan Informatika Jurnal Ilmu Komputer IJISTECH Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Informatika Terpadu Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) Jurnal Informatika Ekonomi Bisnis SATIN - Sains dan Teknologi Informasi
Muhammad Affandes
Universitas Islam Negeri Sultan Syarif Kasim Riau
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Social Sciences Transportation Other

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Klasifikasi Citra Daging Babi dan Daging Sapi Menggunakan Deep Learning Arsitektur ResNet-50 dengan Augmentasi Citra Sarah Lasniari; Jasril Jasril; Suwanto Sanjaya; Febi Yanto; Muhammad Affandes
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 4 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4167

Abstract

Beef is an example of an animal protein-rich food. The consumption of meat in Indonesia is increasing year after year, in tandem with the country's growing population. Many traders purposefully combine beef and pork in order to maximize profits. With the naked eye, it's difficult to tell the difference between pork and beef. In Muslim-majority countries, the assurance of halal meat is crucial. This study uses Deep Learning with the Convolutional Neural Network (CNN) method and ResNet-50 with data augmentation to classify images of beef and pork. The original meat picture databases contain 457 images, however following the data augmentation process, there are 2742 images in total, divided into three classes. The distribution of training and test data is 90 percent:10 percent in the comparison test scenario between the two original data schemes and supplemented data. With an average of 87.64 % accuracy, 87.59 % recall, and 90.90 % precision, the Confusion Matrix is the best classification performance model. There was no evidence of overfitting based on observations from the visualization of the training and testing process.
Cryptocurrency Sentiment Classification Based on Comments On Facebook Using K-Nearest Neighbor Ramu Will Sandra; Yelfi Vitriani; Muhammad Affandes; Suwanto Sanjaya
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1168.805 KB) | DOI: 10.30645/ijistech.v6i2.237

Abstract

Cryptocurrencies continue to develop and have received world attention, price changes that occur every day are influenced by uncertain factors such as political problems and global economic problems. The author will explore the problems discussed by the public regarding positive and negative cryptocurrency comments on Facebook comments using the K-Nearest Neighbor method. This study uses 1000 data comments which are divided into 500 positive data and 500 negative data. The data was obtained manually by using the keyword "bitcoin price" on social media facebook. The results of the testing process using the confusion matrix get the highest accuracy at a comparison of 90: 10 by 62%, recall 70%, error rate 38% and precision 60,34% with k value of 11 and threshold 9.
Analisis Tingkat Kepuasan Pengguna E-Learning Di Perguruan Tinggi Menggunakan Metode Servqual Wedi Kurniawan; Muhammad Affandes; Nazruddin Safaat H; Teddie Darmizal
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 11, No 2: Agustus 2022
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.136 KB) | DOI: 10.35889/jutisi.v11i2.890

Abstract

E-Learning as an online learning media must provide good quality services, in order to support the teaching and learning process to be carried out properly. It is deemed necessary to know how far the current level of user satisfaction is, so that improvements can be made in the future. This study aims to analyze how good the quality of E-Learning services at UIN Suska Riau is currently. The information obtained becomes a reference in improving E-Learning at UIN Suska Riau in the future, so that the level of user satisfaction becomes higher. The analysis uses the SERVQUAL method to measure the level of user satisfaction, using the dimensions of Tangible, Reliability, Responsiveness, Assurance, and Empathy measurements. The analysis focuses on gap 5 by finding the gap between the user's Perception and Expectation. User perceptions and expectations were obtained through distributing questionnaires using the G-Form to student and lecturer respondents. Data processing using SPSS tools. The results of the analysis show that the quality of e-learning services that are currently operating has not met user expectations, marked by all measurement dimensions showing user expectations are greater than user perceptions.Keywords: Learning Media; Service Quality; Perception; Expectation Abstrak. E-Learning sebagai media pembelajaran online harus menyediakan kualitas layanan yang baik, agar dapat mendukung proses belajar mengajar terlaksana dengan baik. Dipandang perlu mengetahui sejauh mana tingkat kepuasan penggunanya saat ini, agar dapat dilakukan penyempurnaan di masa mendatang. Penelitian ini bertujuan menganalisis seberapa baik kualitas layanan e-learning UIN Suska Riau saat ini. Informasi yang diperoleh menjadi acuan dalam perbaikan e-learning UIN Suska Riau di masa mendatang, sehingga tingkat kepuasan pengguna menjadi lebih tinggi. Analisis menggunakan metode SERVQUAL untuk mengukur tingkat kepuasan pengguna, menggunakan dimensi pengukuran Tangible, Reliability, Responsiveness, Assurance, dan Empathy. Analisis berfokus pada gap 5 dengan menemukan ketimpangan antara Persepsi dan Ekspektasi pengguna. Persepsi dan Ekspektasi pengguna diperoleh melalui penyebaran kuesioner menggunakan G-Form kepada responden Mahasiswa dan Dosen. Pengolahan data menggunakan tools SPSS. Hasil analisis menunjukkan kualitas layanan e-learning yang beroperasi saat ini belum sesuai harapan pengguna, ditandai dengan seluruh dimensi pengukuran menunjukkan ekspektasi pengguna lebih besar dari persepsi pengguna.Kata kunci:  Media Pembelajaran; Kualitas Layanan; Persepsi; Ekspektasi
IMPLEMENTASI SERVICE CHOREOGRAPHY PATTERN ARSITEKTUR MICROSERVICE CLASSROOM AKADEMIK MENGGUNAKAN DOCKER Dhymas Julyan Riyanto; Pizaini Pizaini; Nazruddin Safaat H.; Muhammad Affandes
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 3 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i3.3126

Abstract

Pengembangan aplikasi classroom akademik mewujudkan proses bisnis inti pada lembaga pendidikan secara umum masih menggunakan arsitektur monolitik. Arsitektur microservice hadir sebagai pola pengembangan aplikasi dimana keseluruhan fungsi perangkat lunak disediakan oleh komponen-komponen layanan atau service aplikasi yang lebih kecil. Service-service tersebut akan berkomunikasi melalui komunikasi berbasis event-driven menggunakan service choreography pattern dimana pertukaran data terjadi secara asynchronous melewati message broker. Namun dalam pengembangan arsitektur microservices, masing-masing service memiliki dependensi dan environment yang berbeda. Docker merupakan teknologi perangkat lunak yang berfungsi sebagai wadah untuk membungkus dan memasukkan aplikasi menggunakan teknik kontainerisasi yang mengisolasi masing-masing service dan juga environment-nya. Teknik kontainerisasi seperti ini mampu membantu  mewujudkan penerapan arsitektur microservices menggunakan service choreography pattern terhadap aplikasi classroom akademik dinamis yang digunakan tidak hanya oleh satu lembaga pendidikan. Penelitian ini memiliki tujuan untuk mengimplementasikan Service Choreography Pattern Arsitektur Microservice Classroom Akademik Menggunakan Docker, dimana telah dilakukan pengujian benchmarking memakai tools Wrk Bench dengan membuat 400 HTTP connections menggunakan 6 threads CPU dan dijalankan selama 15 detik, yang kemudian divalidasi dan dievaluasi melalui beberapa parameter, seperti waktu tanggapan atau latency (ms), jumlah HTTP request/seconds (rps) dan kecepatan transfer/seconds (Mbps). Hasil penelitian menunjukkan jumlah request HTTP yang dapat diterima melebihi 40000 permintaan, menunjukkan betapa efektifnya penggunaan service choreography pattern yang diimplementasikan pada classroom akademik. Serta dengan adanya pembatasan request HTTP pada auth, menjadikan aplikasi menjadi lebih aman ketika menggunakan rate limit dari permintaan yang terlalu banyak.
Pembuatan Bot Telegram Untuk Layanan Pencarian Hadis Riwayat Sahih Bukhari Gunawan Setia Wiguna; Nazruddin Safaat Harahap; Iwan Iskandar; Muhammad Affandes
Jurnal Informatika Terpadu Vol 8 No 2 (2022): September, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v8i2.561

Abstract

Books about hadith are often found in bookstores and libraries. Although someone can access hadith via books, not all Indonesians have hadith books and are less interested in looking for hadith via book format. With the development of technology, bots or chatbots in the Telegram application provide information more easily. Hadith search using bot technology is required to make it easier for people the search about hadith. Telegram bot creation for hadith searches using data from Sahih Bukhari's book. The compiler of the Sahih Bukhari book group the hadiths according to specific topics into several books and chapters. The purpose of the make it easier to look at the hadith by the chapter. Telegram bot creation used the prototyping method and successfully created the bot as a hadith search service. Based on Black Box testing, the bot success ran all commands as expected. The User Acceptance Test (UAT) on the bot got a total result of 82,8%. The test results show that respondents' level of acceptance by the Telegram bot for hadith search includes the category strongly agree. From the results of the UAT test, it can conclude that users can accept and use the bot according to their needs.
Cryptocurrency Sentiment Classification Based on Comments On Facebook Using K-Nearest Neighbor Ramu Will Sandra; Yelfi Vitriani; Muhammad Affandes; Suwanto Sanjaya
IJISTECH (International Journal of Information System and Technology) Vol 6, No 2 (2022): August
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i2.237

Abstract

Cryptocurrencies continue to develop and have received world attention, price changes that occur every day are influenced by uncertain factors such as political problems and global economic problems. The author will explore the problems discussed by the public regarding positive and negative cryptocurrency comments on Facebook comments using the K-Nearest Neighbor method. This study uses 1000 data comments which are divided into 500 positive data and 500 negative data. The data was obtained manually by using the keyword "bitcoin price" on social media facebook. The results of the testing process using the confusion matrix get the highest accuracy at a comparison of 90: 10 by 62%, recall 70%, error rate 38% and precision 60,34% with k value of 11 and threshold 9.
Aplikasi Tafsir Quran Berbasis Flutter citra ainul mardhia putri; nazruddin safaat harahap; febi yanto; muhammad affandes; pizaini -
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2022: SNTIKI 14
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Jurnal ini berisikan tentang aplikasi tafsir quran yang bisa mencari ayat ayat yang berulang. Selain itu pengguna juga dapat mencari semua ayat yang ada dial-quran terdapat dalam aplikasi ini. aplikasi ini merupakan aplikasi alquran yang berbasis android.
Rancang Bangun Aplikasi Layanan Pemesanan Tiket pada Objek Wisata Agro Nadiin Berbasis Android Abdul Aziz; Nazruddin Safaat H; Muhammad Affandes
JUKI : Jurnal Komputer dan Informatika Vol. 4 No. 2 (2022): JUKI : Jurnal Komputer dan Informatika, Edisi November 2022
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak. Saat ini, kemajuan teknologi data berkembang pesat di kalangan masyarakat, khususnya penggunaan ponsel atau telepon genggam. Agro Nadiin, objek wisata yang populer, hanyalah salah satu contoh bagaimana industri pariwisata dapat memanfaatkan teknologi informasi. Saat ini sistem pemesanan tiket objek wisata Agro Nadiin masih menggunakan cara manual yang mengharuskan pengunjung datang langsung ke ticketing point, sehingga pengunjung harus mengantri untuk mendapatkan tiket masuk dan reservasi villa. Oleh karena itu perlu dibuat aplikasi pemesanan tiket secara online. Aplikasi pemesanan tiket yang dirancang adalah aplikasi mobile yang dikembangkan untuk mengatasi masalah tersebut. Aplikasi ini menawarkan layanan kepada pengunjung Agro Nadiin, seperti informasi tentang Agro Nadiin, informasi tentang rute terdekat ke lokasi, pemesanan tiket, pemesanan villa dan pembayaran online melalui aplikasi. Aplikasi ini menggunakan sistem Location Based Service (LBS) untuk membantu pengguna menemukan rute terdekat menuju lokasi dan mengimplementasikan sistem payment gateway dalam proses transaksi pembayaran. Hasil temuan dari sistem informasi pemesanan tiket online ini adalah untuk memudahkan pemesanan tiket wisata dan akomodasi di sekitar objek wisata Agro Nadiin.
Design Rancangan User Interface Aplikasi My Pets Dengan Menggunakan Metode Design Thinking Roni Setyawan; Reski Mai Candra; Eka Pandu Cynthia; Febi Yanto; Muhammad Affandes
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5305

Abstract

The research was made to produce an application design using the design thinking’s method. The system made on the basis of user interface and user experience. The user interface is used to meet user needs, while the user experience is used as an assessment of the system designed. The target of My Pets application is for pet parents. It  has several stages; empathize, define, ideate, prototype, and testing. At the empathize stage it produces the main problems which are used as material for researchers to find a solution, problems obtained from the results of interviews and observations of 25 respondents. In the define stage, it begins to determine the problem as main focus to be solved. The ideate stage, it generates a solution to an existing problem. The prototype stage develops designs based on the previous stages. At the testing stage using the system usability scale to 25 respondents and getting a result of 87.7 or excellent. Based on the test results, My Pets application has been completed and assessed as effective based on the design thinking’s method. It is expected the design made can be used and the system developed better in the future
Analisa dan Desain Kembali Aplikasi Galeri Lembaga Adat Melayu Riau Menggunakan Metode Design Thinking Wirasatria Putra; Muhammad Affandes; Yelfi Vitriani; Iwan Iskandar
JURIKOM (Jurnal Riset Komputer) Vol 9, No 6 (2022): Desember 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i6.5306

Abstract

Application Galeri Lembaga Adat Melayu Riau or abbreviated as Galeri LAM is a buying and selling application that aims to preserve Budaya Melayu Riau at Sentra Ekonomi Kreatif dan Budaya in collaboration with PT Pertamina and is shaded by the Lembaga Adat Melayu Riau. In this project, there are 3 business processes, namely the Online Store application, supplier and cashier application. What will be discussed in this Journal is the Online Store application. Galeri LAM online store application provides facilities for UMKM Partners to market their products by working with Galeri LAM as a container. Based on the fungski, the Galeri LAM Online Store Application aims to make it easier for UMKM Partners who work together to market their products widely, reach more audiences and as a promotional medium. This application also makes it easier for buyers to find original quality products from RIAU. But in its use there are still many problems. This research focuses on developing application recommendations by analyzing and redesigning the UI and UX of the Galeri LAM Online Store Application using the Design Thinking method. This method is known as a comprehensive thinking process that concentrates on creating solutions that begin with a process of empathy for a certain human-centered need. There are 5 stages in this method, namely Empathize, Define, Ideate, Prototype, and Testing. Application recommendations are built in the form of prototypes using the Figma application. The prototype that was built was successfully tested on 10 respondents using System Usability Scale (SUS) testing and 76 application prototypes
Co-Authors Abdul Aziz Ahmad Efendi Al Fajri Albis Ya Albi Aldri Permana, Lutfi Alwis Nazir Alwis Nazir Alwis Nazir Amany Akhyar Amany Akhyar Amany Akhyar Andrian Wahyu Ardelia, Adinda Abidah Asmarita Asmarita Badri Yusuf Baehaqi Chandra, Reski Mai citra ainul mardhia putri Destri Putri Yani Dhymas Julyan Riyanto Eka Pandu Cynthia Elin Haerani Elin Haerani Elin Haerani Elvia Budianita Elvina Afriani Fadhilah Syafria Fatmawati Fatmawati Febi Yanto Fikry, Muhammad Fitri Insani Fitri Insani Fitri Wulandari Fitri Wulandari Gunawan Setia Wiguna Gusti, Siska Kurnia Harahap, Nazaruddin Safaat hariansyah, Aldi imelda amuis Iqbal Salim Thalib Iwan Iskandar Iwan Iskandar Iwan Iskandar Jasril Jasril Jasril Jasril Kana Saputra S Khairul Amri Khonofi, Khoidir Kurniansyah, Juliandi Lola Oktavia Mar'arif, Muhammad Mulky Marlina, Resti Muhammad Fikry Muhammad Irsyad Muhammad Irsyad Muhammad Ridha Muhammad Rizky Ramadhan Nazruddin Safaat Nazruddin Safaat H Nazruddin Safaat H Nazruddin Safaat H Novi Yanti Novialdi T Novri Rahman Novri Yanto Novriyanto Novriyanto Novriyanto Nurhapiza, Nurhapiza Oktavia, Lola Pizaini Pizaini Prameswari, Putri Rahmad Kurniawan Raja Sultan Firsky Ramu Will Sandra Reski Mai Candra Reski Mai Candra Reski Mai Candra Reski Mai Candra Reski Mai Candra Reski Mai Candra Rindi Yani Rometdo Muzawi, Rometdo Roni Setyawan Saputra, Rozi Sarah Lasniari Sarah Lasniari Surya Andika Suwanto Sanjaya Syarifuddin Syarifuddin Tania, Windy Teddie Darmizal Teddie Darmizal Thomas Alva Edison Tri Prastio Nugroho Wedi Kurniawan Wirasatria Putra Yazid, Fathuddin Yelfi Vitriani Yelfi Vitriani Zuriati Ardila Safitri